Class Prediction and Gene Selection for DNA Microarrays Using Sliced Inverse Regression

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• Chapitres du même volume (disponibles individuellement)

  • Preface
  • Contents
  • Index of Authors
  • A Censored Point Process Model for Extreme Volcanic Eruptions
  • Marginal Moels
  • Generalized Linear Latent and Mixed Models with Composite Links and Exploded Likelihood
  • Statistical Analysis of Replicated Microarray Time Series Data
  • Model Selection for Regression Analyses with Missing Data
  • A Computationally Tractable Multivariate Random Effects Model for Clustered Binary Data
  • Localizing Clusters in Space-Time Point Process Data
  • Parametric and Semi-Parametric Approaches in the Analysis of Short-Term Effects of Air Pollution on Health
  • Distributional Results for FDR
  • Pairwise Likelihood for Generalized Linear Models with Crossed Random Effects
  • Linking Gene-Expression Experiments with Survival-Time Data
  • Rank Tests of Conditional Independence for Continuous Variables
  • Investigating Gene-Specific Variance via Bayesian Hierarchical Modelling
  • On the Clustering Term in Ecological Analysis
  • Bayesan Focused Clustering for a Case-Control Study on Lung Cancer in Trieste
  • Imputing Missing Phenotypes
  • Conditional Akaike Information for Mixed Effects Models
  • Measuring Noncompliance in Insurance Benefit Regulations with Randomized Response Methods for Multiple Items
  • Confidence Intervals for the Variance of Random-Effects Linear Models
  • Geoadditive Survivals Models
  • Statistical Models for Market Segmentation
  • Models of Double Monotone Dependence for Two Way Contingency Tables
  • Non-parametric Estimation of an Intervention Effect with Staggered Intervention Times
  • Exploratory Analysis of Epidemiological Time Series by Means of Transfer Function Models
  • Efficient Smoothing of D-Dimensional Arrays
  • Assessment of Variance Components in Elliptical Linear Mixed Models
  • Modelling Financial Durations between Price Movements
  • Wavelet Analysis of Electrical Signals Obtained from Experimental Design
  • The Shifted Warped Normal Model for Mortality
  • Structured Additive Regression for Multicategorical Space-Time Data
  • Analyzing Plaid Designs Using Mixed Models
  • Model Building and Interpretation of Ordinal Multilevel Random Effects Models with Exogeneity and Endogeneity
  • Bayesian Techniques for Modelling Volcanic Processes
  • Bayesian Analysis of Transmission Dynamics of Experimental Epidemics
  • Weighted Estimation of Variance Components and Fixed Effects in Small Area Models
  • A Polytomous Response Multilevel Model with a non Ignorable Selection Mechanism
  • Joint Modelling of Cluster Size and Binary and Continuous Outcomes
  • Overdispersion in Wadley's Problem
  • Model Selection for P-Spline Smoothing Using Akaike Information Criteria
  • A Bayesian Accelerated Failure Time Model with a Normal Mixture as an Error Distribution
  • This Misclassification SIMEX
  • Statistical Inference for Data Files That Are Computer Linked
  • Advances in Covariance Modelling
  • Nonparametric Modelling of Longitudinal Data
  • Quasi-Monte Carlo Estimation in Generalized Linear Mixed Models
  • Modelling Covariance Structures in Generalized Estimating Equations for Longitudinal Data
  • Count Distributions with Mixed Poisson Random Effects
  • Improving the Relevance Vector Machine Under Covariate Measurement Error
  • Class Prediction and Gene Selection for DNA Microarrays Using Sliced Inverse Regression
  • Is the Gene Between the Two Markers or Not?
  • Bayesian Covariance and Variable Selection for Explaining Consumer Behaviour
  • Hierarchical Bayesian Modelling of Spatial Interactions of Gene Expression on Tubercolosis Genome
  • Multivariate Linear Model for Selection of Oilseed Rape Genotypes
  • Mixed Model for Studying the Stability of Phenotypic Gene Effects
  • Split-Plot x Split-Block Type Three Factor Designs
  • Optimization of Fiber Tracking in Human Brain Mapping
  • Estimates of the Short Term Effects of ir Pollution in Italy Using Alternative Modelling Techniques
  • A Multivariate Latent Markov Model for the Analysis of Criminal Trajectories
  • Application of the Modified Profile Likelihood in Stratified Models
  • Analysis of Breast Cancer Survival Data with Missing Information on Stage of Disease and Cause of Death
  • A Split-Plot Analysis for Microarray Experiments
  • Comparison Between the Parametric Mixing Distribution with Moverstayer Model and the Nonparametric Mixing Distribution for the Analysis of Tower London Data
  • PH and Non-PH Frailty Models for Multivariate Survival Data
  • Assessing Reliability and Agreement of Repeated Measurements by Hierarchical Modeling
  • Daily Volatility Modelling Using Ultra-High Frequency Data
  • Control of the False Discovery Rate with Bayes Factors. An Application to Microarray Data Analysis
  • Parametric vs Semiparametric in Interval Censored Data
  • Regression Models for the Analysis of Psychiatric Data
  • A Statistical Method for the Estimation of CHildhood Cancer Prevalence Among Adults
  • Chemical Balance Weighing Designs with Correlated Errors Based on Balanced Block Designs
  • The Forward Search for Generalised Extreme Value Distributions
  • Modelling Breast Cancer Data with Informative Dropout
  • Local Influence and Residual Analysis in Heteroscedastic Symmetrical Linear Models
  • Modelling the Costs of Different Strategies after Myocardial Infarction
  • Semiparametric Comparison of Two Samples
  • Analysis of Interval-Censored Data
  • Two-Stage Models to Control for Overdispersion in Longitudinal Count Data
  • Multilevel Logit Models
  • Seasonal Variation in Death Counts
  • Power-Divergence Goodness-Of-Fit Statistics
  • A Latent Variable Model of Creativity and Social Compromise
  • Quasi-Likelihood Ratio Statistic for Robust Hypotesis Testing in the Presence of Nuisance Parameters
  • Microarray Experiments for Gene Expression in Fish Stress Studies
  • A Growth Mixture Model for Multivariate Outcomes
  • Exact Bayesian Inference for Bivariate Poisson Data
  • An Evaluation of Classification Techniques Applied to the Field of NIR/IR Spectroscopy
  • Identifying Important Input Variables by Applying Alignment in Kernel Fisher Discriminant Analysis
  • Statistical Modelling for the Time Projection Chamber Signal Processing
  • Assessing the Effect of a Teaching Program on Breast Self-Examination in a Randomized Trial with Noncompliance and Missing Data
  • Variance Free Model for Two-Way Layout with Interaction
  • Logit Model for TB in Europe (1995-2000)
  • Series of Studies with a Common Structure
  • Bayesian Modelling Volatility with Mixture of Alpha-Stable Distributions
  • Approximated Piecewise Linear Mixed Modelling with Random Changepoints for Longitudinal Data Analysis
  • A Comparison Between Measure Scales for Quality Evaluation Using the Rasch Model
  • On Probabilities of Avalanches Trioggered by Alpine Skiers. An Application of Models for Counts with Extra Zeros
  • Fieller's Method for Mixed Models
  • Predictive Model Selection Criteria for Logistic Regression
• Informations

  Code DOI : 10.1400/40258

  Permalink: http://digital.casalini.it/10.1400/40258